Senior Software Engineer – Python & AWS (100% Remote)

Recrute Action

5d•Remote

About The Position

Be part of a dynamic technology team in the insurance sector and contribute to the delivery of modern cloud-native solutions that support large-scale data and platform operations. This opportunity combines meaningful technical challenges, a collaborative environment, flexible working arrangements, and hands-on exposure to AWS-based engineering initiatives.

Requirements

Bachelor's degree or diploma in Computer Science, Software Engineering, or a related field.
2-5 years of experience in software engineering, DevOps, or application development.
Experience developing applications in Python and/or Java.
Experience participating in code reviews and applying engineering best practices.
Strong proficiency in Python.
Experience with AWS services, including Lambda, EventBridge, SQS, API Gateway, and serverless fundamentals.
Experience with Git and Bitbucket, including source control, branching strategies, and code collaboration.
Experience with Jenkins and CI/CD tools, including GitHub Actions, GitLab CI/CD, Harness, or similar technologies.
Strong understanding of Agile methodologies and experience working within Scrum or Kanban teams.
Experience using Jira and Confluence for planning, tracking, and collaboration.
Understanding of distributed systems, APIs, event-driven architectures, and microservices design principles.
Familiarity with infrastructure-as-code, configuration management, and automation concepts.
Knowledge of modern web frameworks such as React, Angular, Vue, Preact, or similar technologies.
Experience using AI-assisted development tools such as GitHub Copilot or Claude Code.

Nice To Haves

AWS, Terraform, or related cloud certifications.
Experience with Terraform for infrastructure-as-code, automation, and provisioning.
Experience with Snowflake, including RBAC, masking, SQL fundamentals, and data warehouse environments.
Experience with AWS Lambda for serverless compute and event-driven workflows.
Knowledge of AWS Data and Analytics services, including Glue Catalog, ETL, Lake Formation, Athena, SageMaker, and S3.
Experience building cloud-native, distributed, serverless, or event-driven applications on AWS.
Experience with Docker and Kubernetes.
Knowledge of AWS security and governance practices, including IAM, encryption, and access management.
Exposure to test-driven development, unit testing, integration testing, monitoring, logging, site reliability engineering, or platform engineering practices.
Ability to quickly ramp up without requiring deep organization-specific knowledge.
Strong debugging and investigative skills.
Ability to remain effective in ambiguous situations and under pressure.
Ability to contribute across front-end and back-end activities.
Ability to independently investigate issues, analyze logs, and identify solutions.

Responsibilities

Analyze, investigate, and recommend solutions to improve processes, enhance operational efficiency, identify pain points, and optimize development workflows.
Contribute to the creation and maintenance of technical documentation, standards, reusable frameworks, and implementation templates.
Collaborate effectively with cross-functional teams using Agile methodologies to plan, develop, test, and deliver software solutions.
Utilize Jira and Confluence to manage work, track progress, document requirements, and support team collaboration.
Implement and follow source control best practices using Git, Bitbucket, and modern branching strategies such as GitFlow and Trunk-Based Development.
Design, develop, test, and maintain software applications using Python and Java.
Participate in code reviews to ensure code quality, maintainability, security, and adherence to engineering standards.
Support and improve CI/CD pipelines using tools such as Jenkins and GitLab CI/CD.
Assist with infrastructure automation, provisioning, and configuration management using tools such as Terraform and Ansible.
Contribute to the design and implementation of distributed systems and microservices-based applications.
Work with cloud-native technologies and AWS services to build scalable, reliable, and secure solutions.
Troubleshoot production issues, perform root cause analysis, and implement preventive solutions.
Partner with team members to promote engineering best practices, knowledge sharing, and continuous improvement.
Collaborate with stakeholders to translate business requirements into technical solutions and implementation plans.